Patents by Inventor Wenhan QIAO

Wenhan QIAO has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20250211730
    Abstract: A transform method and a decoder. The encoder determines a prediction mode parameter of a current block; determines a cross-component linear model (CCLM) parameter when the prediction mode parameter indicates that CCLM prediction is used for the current block to determine an intra prediction value; determines the intra prediction value of the current block according to the CCLM parameter, and calculates a residual value between the current block and the intra prediction value; determines a low-frequency non-separable transform (LFNST) transform kernel used for the current block according to the CCLM parameter, sets an LFNST index, and signals the LFNST index into a bitstream of a video, when LFNST is used for the current block; and transforms the residual value with the LFNST transform kernel.
    Type: Application
    Filed: March 7, 2025
    Publication date: June 26, 2025
    Inventors: Junyan HUO, Xinwei LI, Wenhan QIAO, Yanzhuo MA, Shuai WAN, Fuzheng YANG
  • Patent number: 12278948
    Abstract: A transform method and a decoder. The encoder determines a prediction mode parameter of a current block; determines a cross-component linear model (CCLM) parameter when the prediction mode parameter indicates that CCLM prediction is used for the current block to determine an intra prediction value; determines the intra prediction value of the current block according to the CCLM parameter, and calculates a residual value between the current block and the intra prediction value; determines a low-frequency non-separable transform (LFNST) transform kernel used for the current block according to the CCLM parameter, sets an LFNST index, and signals the LFNST index into a bitstream of a video, when LFNST is used for the current block; and transforms the residual value with the LFNST transform kernel.
    Type: Grant
    Filed: June 22, 2022
    Date of Patent: April 15, 2025
    Assignee: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP., LTD.
    Inventors: Junyan Huo, Xinwei Li, Wenhan Qiao, Yanzhuo Ma, Shuai Wan, Fuzheng Yang
  • Patent number: 12219175
    Abstract: Disclosed are a transformation method, an encoder, a decoder, and a storage medium. The transformation method applied to an encoder includes: determining a prediction mode parameter of a current block; determining a Matrix-based Intra Prediction (MIP) parameter when the prediction mode parameter indicates that MIP is used for the current block to determine an intra prediction value; determining an intra prediction value of the current block according to the MIP parameter and calculating a residual value between the current block and the intra prediction value; determining a Low-Frequency Non-Separable Transform (LFNST) transform kernel used for the current block according to the MIP parameter when an LFNST is used for the current block, setting an LFNST index, and signalling the LFNST index in a video bitstream; and performing a transform processing on the residual value by using the LFNST transform kernel.
    Type: Grant
    Filed: June 17, 2022
    Date of Patent: February 4, 2025
    Assignee: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP., LTD.
    Inventors: Junyan Huo, Xinwei Li, Wenhan Qiao, Yanzhuo Ma, Shuai Wan, Fuzheng Yang
  • Publication number: 20250030894
    Abstract: A video encoding, decoding method and a decoder are disclosed. The method includes: decoding a bitstream to determine a first-type intra prediction mode parameter of a current block; determining first prediction values of the current block according to the first-type intra prediction mode parameter; determining a first transform parameter of the current block based on the first prediction values of the current block or the first-type intra prediction mode parameter of the current block; determining, based on the first transform parameter, a second transform parameter for transforming the current block; transforming, based on the second transform parameter, transform coefficients of the current block to determine residuals of the current block; and determining reconstructed values of the current block based on the residuals and the first prediction values.
    Type: Application
    Filed: October 8, 2024
    Publication date: January 23, 2025
    Inventors: Junyan HUO, Yanzhuo MA, Fuzheng YANG, Wenhan QIAO, Ming LI
  • Patent number: 12058373
    Abstract: A transform method applied to an encoder includes: determining a prediction mode parameter of a current block; determining a CCLM parameter when the prediction mode parameter indicates that CCLM is used for the current block to determine an intra prediction value; determining the intra prediction value of the current block according to the CCLM parameter and calculating a residual value between the current block and the intra prediction value; performing a first transform on the residual value to obtain a first coefficient matrix; determining an LFNST coefficient scanning order used for the current block according to the CCLM parameter when an LFNST is used for the current block; constructing an input coefficient matrix of the LFNST by using the first coefficient matrix according to the LFNST coefficient scanning order; and performing an LFNST processing on the input coefficient matrix to obtain a transform coefficient matrix of the current block.
    Type: Grant
    Filed: June 17, 2022
    Date of Patent: August 6, 2024
    Assignee: GUANGDONG OPPO MOBILE TELECOMMUNICATIONS CORP., LTD.
    Inventors: Junyan Huo, Xinwei Li, Wenhan Qiao, Yanzhuo Ma, Shuai Wan, Fuzheng Yang
  • Publication number: 20220329809
    Abstract: A transform method includes: determining a prediction mode parameter of a current block; determining a MIP parameter when the prediction mode parameter indicates that MIP is used for the current block to determine an intra prediction value; determining the intra prediction value of the current block according to the MIP parameter, and calculating a residual value between the current block and the intra prediction value; performing a first transform on the residual value to obtain a first coefficient matrix; determining a scanning order of LFNST coefficients used for the current block according to the MIP parameter when an LFNST is used for the current block; constructing an input coefficient matrix of the LFNST based on the first coefficient matrix according to the scanning order of LFNST coefficients; and performing an LFNST processing on the input coefficient matrix to obtain a transform coefficient matrix of the current block.
    Type: Application
    Filed: June 17, 2022
    Publication date: October 13, 2022
    Inventors: JUNYAN HUO, XINWEI LI, WENHAN QIAO, YANZHUO MA, SHUAI WAN, FUZHENG YANG
  • Publication number: 20220329786
    Abstract: A transform method and a decoder. The encoder determines a prediction mode parameter of a current block; determines a cross-component linear model (CCLM) parameter when the prediction mode parameter indicates that CCLM prediction is used for the current block to determine an intra prediction value; determines the intra prediction value of the current block according to the CCLM parameter, and calculates a residual value between the current block and the intra prediction value; determines a low-frequency non-separable transform (LFNST) transform kernel used for the current block according to the CCLM parameter, sets an LFNST index, and signals the LFNST index into a bitstream of a video, when LFNST is used for the current block; and transforms the residual value with the LFNST transform kernel.
    Type: Application
    Filed: June 22, 2022
    Publication date: October 13, 2022
    Inventors: Junyan HUO, Xinwei LI, Wenhan QIAO, Yanzhuo MA, Shuai WAN, Fuzheng YANG
  • Publication number: 20220329861
    Abstract: A transform method applied to an encoder includes: determining a prediction mode parameter of a current block; determining a CCLM parameter when the prediction mode parameter indicates that CCLM is used for the current block to determine an intra prediction value; determining the intra prediction value of the current block according to the CCLM parameter and calculating a residual value between the current block and the intra prediction value; performing a first transform on the residual value to obtain a first coefficient matrix; determining an LFNST coefficient scanning order used for the current block according to the CCLM parameter when an LFNST is used for the current block; constructing an input coefficient matrix of the LFNST by using the first coefficient matrix according to the LFNST coefficient scanning order; and performing an LFNST processing on the input coefficient matrix to obtain a transform coefficient matrix of the current block.
    Type: Application
    Filed: June 17, 2022
    Publication date: October 13, 2022
    Inventors: JUNYAN HUO, XINWEI LI, WENHAN QIAO, YANZHUO MA, SHUAI WAN, FUZHENG YANG
  • Publication number: 20220329862
    Abstract: Disclosed are a transformation method, an encoder, a decoder, and a storage medium. The transformation method applied to an encoder includes: determining a prediction mode parameter of a current block; determining a Matrix-based Intra Prediction (MIP) parameter when the prediction mode parameter indicates that MIP is used for the current block to determine an intra prediction value; determining an intra prediction value of the current block according to the MIP parameter and calculating a residual value between the current block and the intra prediction value; determining a Low-Frequency Non-Separable Transform (LFNST) transform kernel used for the current block according to the MIP parameter when an LFNST is used for the current block, setting an LFNST index, and signalling the LFNST index in a video bitstream; and performing a transform processing on the residual value by using the LFNST transform kernel.
    Type: Application
    Filed: June 17, 2022
    Publication date: October 13, 2022
    Inventors: Junyan HUO, Xinwei LI, Wenhan QIAO, Yanzhuo MA, Shuai WAN, Fuzheng YANG